False-twist texturing machine knot tension detection
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Solution Overview
Problem
Existing false-twist texturing machines lack the ability to specify the untwisting tension of the false-twist textured knot, leading to unstable yarn properties and low-quality winding packages due to manual knotting operations, which affects the quality evaluation of the winding package.
Innovation Solution
A false-twist texturing machine equipped with a tension detection device, switching detection device, and information processing device that calculates the movement time of the knot and extracts corresponding tension data, allowing for the specification of untwisting tension and distinguishing abnormal tension data from normal data, enabling detailed quality evaluation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If manual knotting operation is performed by operator, then yarn splicing between yarn ends is achieved, but the untwisting tension of the false-twist textured knot becomes unstable and quality evaluation is difficult
Solution Approach 1:
The patent replaces manual mechanical knotting operations with an automated tension detection and analysis system. The tension detection device measures the untwisting tension of knots automatically, and the information processing device analyzes this data to evaluate knot quality, eliminating the need for manual operator skill and achieving stable, repeatable measurements.
Solution Approach 2:
The system implements feedback by detecting the untwisting tension of knots and using this information to evaluate yarn quality. The tension detection device provides real-time data about knot characteristics, allowing the system to assess whether knots meet quality standards and to make adjustments to maintain consistent yarn properties throughout production.
2Productivity
If knot is included in winding package, then continuous yarn supply is maintained, but the quality (grade) of the winding package is set low
Solution Approach 1:
The system enables self-service quality evaluation by automatically detecting and analyzing knot characteristics. The tension detection device and information processing device work together to assess knot quality without external intervention, allowing the production system to maintain high quality standards while accepting knots as necessary for continuous operation.
Solution Approach 2:
The patent changes the evaluation parameter from binary acceptance/rejection of knots to a continuous assessment of untwisting tension values. By measuring and analyzing the specific tension characteristics of knots, the system can distinguish between acceptable and problematic knots, allowing quality maintenance even when knots are present in the winding package.
3Measurement precision
If tension detection device and information processing device are added, then untwisting tension of knot can be specified and quality evaluation improved, but device complexity increases
Solution Approach 1:
The patent introduces a tension detection device as an intermediary between the knot formation process and quality evaluation. This device acts as a mediator that translates physical knot characteristics into measurable tension data, which is then processed by the information processing device to generate quality assessments, bridging the gap between mechanical knotting and quality control.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The machine can accurately specify the untwisting tension of the false-twist textured knot, facilitating detailed quality evaluation of the winding package by visually confirming waveforms, thereby improving the quality assessment and management of the winding package.
Implementation Method 1
a tension detection device which detects an untwisting tension of the yarn traveling between the yarn feeding package and the winding package
Data Source
Figure 1
Figure 2~2(b)
Figure 3
AI summary
A false-twist texturing machine 1 includes a tension detection device 20 which detects an untwisting tension of a yarn Y traveling between yarn feeding packages P1 and P2 and a winding package P3; a switching detection device 30 which detects that the yarn feeding package supplying the yarn Y is switched from one yarn feeding package PI to the other yarn feeding package P2; and an information processing device 40 which calculates a period of movement time at which a knot C of a yarn end Y1 of one yarn feeding package PI and a yarn end Y2 of the other yarn feeding package P2 is expected to move in the tension detection device 20 based on the detection result of the switching detection device 30 and extracts and stores tension data group corresponding to the period of movement time from the detection result of the tension detection device 20.